Book Image

Hands-On Linux Administration on Azure

By : Frederik Vos
Book Image

Hands-On Linux Administration on Azure

By: Frederik Vos

Overview of this book

Azure’s market share has increased massively and enterprises are adopting it rapidly, while Linux is a widely-used operating system and has proven to be one of the most popular workloads on Azure. It has thus become crucial for Linux administrators and Microsoft professionals to be well versed with managing Linux workloads in an Azure environment. With this guide, system administrators will be able to deploy, automate, and orchestrate containers in Linux on Azure. The book follows a hands-on approach to help you understand DevOps, monitor Linux workloads on Azure and perform advanced system administration. Complete with systematic explanations of concepts, examples and self-assessment questions, the chapters will give you useful insights into Linux and Azure. You’ll explore some of Linux’s advanced features for managing multiple workloads and learn to deploy virtual machines (VMs) in Azure. Dedicated sections will also guide you with managing and extending Azure VMs’ capabilities and understanding automation and orchestration with Ansible and PowerShell DSC. In later chapters, you’ll cover useful Linux troubleshooting and monitoring techniques that will enable you to maintain your workload on Azure. By the end of this book, you’ll be able to make the most out of Azure’s services to efficiently deploy and manage your Linux workloads.
Table of Contents (14 chapters)

Chapter 10: Working with the Azure Kubernetes Service

  1. Develop locally, deploy remotely.
  2. kubectl config use-context <cluster>.
  3. A pod is a group of containers with shared resources, such as storage and network.
  4. A pod shares resources between the containers within the pod, this can be useful for containers with helper applications such as logging and monitoring and reverse proxies:
    • Using the kubectl --image command
    • Using a specification file in YAML format
    • Helm
  1. There are multiple methods available. In this chapter, Draft was covered during the early stages of development, and then Helm afterwards.
  2. You don't need to do that yourself. It will be done automatically by Azure.
  3. If you want access to a filesystem read/write at the same time from multiple containers, you'll need a clustered filesystem and iSCSI.
  4. Example code is provided on GitHub.
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